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學生對 Coursera Project Network 提供的 Regression Analysis with Yellowbrick 的評價和反饋

4.6
77 個評分
16 條評論

課程概述

Welcome to this project-based course on Regression Analysis with Yellowbrick. In this project, we will build a machine learning model to predict the compressive strength of high performance concrete (HPC). Although, we will use linear regression, the emphasis of this project will be on using visualization techniques to steer our machine learning workflow. Visualization plays a crucial role throughout the analytical process. It is indispensable for any effective analysis, model selection, and evaluation. This project will make use of a diagnostic platform called Yellowbrick. It allows data scientists and machine learning practitioners to visualize the entire model selection process to steer towards better, more explainable models.Yellowbrick hosts several datasets from the UCI Machine Learning Repository. We’ll be working with the concrete dataset that is well suited for regression tasks. The dataset contains 1030 instances and 8 real valued attributes with a continuous target. We we will cover the following topics in our machine learning workflow: exploratory data analysis (EDA), feature and target analysis, regression modelling, cross-validation, model evaluation, and hyperparamter tuning. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, Yellowbrick, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1 - Regression Analysis with Yellowbrick 的 16 個評論(共 16 個)

創建者 Raul G

2020年6月25日

This course could have been way better! The tutor tells you what the code does but does not explain why we use of what the plots actually mean. you just get a ball park educated guess about what to do with the plots. the rhyme environment is laggy and unresponsive at times and it is not due to my internet connection as i have tested this in 2 different geographical locations. what this course does is shows you lots of cool graphs and you get a VERY basic sort of explanation about the graph. not worth the money as I can get a way better course on Udemy for the same money!

創建者 Lorenço G A

2020年7月11日

Excellent code and theory balance. Not too long nor too short. I wish the author could provide a PDF with all the concepts and theories compilation around the most important ideas. Congratulations. Cheers!

創建者 Saurabh K

2020年5月12日

Great Instructor.

Good Platform for Learning as well as Practice side by side.

Thank you for sharing your knowledge.

創建者 Manish W

2020年5月2日

the instructor need to include more theory

創建者 Chanreaksa C

2020年9月14日

Great guide project, it is easy to follow

創建者 Rajkumar R

2020年10月23日

Good Experience. New things learnt

創建者 Arnab S

2020年9月8日

Nice way to learn new things.

創建者 Dr. P R

2020年5月15日

Very interesting

創建者 Jack C

2020年6月3日

Great project!

創建者 SHRUTI S

2020年5月14日

Nice course

創建者 Dr. J R P

2020年5月7日

Excellent

創建者 p s

2020年6月24日

Nice

創建者 Vajinepalli s s

2020年6月20日

nice

創建者 THAKOR R R

2020年5月22日

GOOD

創建者 tf

2021年7月5日

G​ood introduction to Yellowbrick. The audio is not as good as other projects.

創建者 Ammar S

2020年7月13日

Nice and a very good project to do in week-end.